Computational Pathology | Oncology | Pathology Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images. April 17, 2019
Bioinformatics | Oncology | Pathology A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers. March 29, 2019
Pathology A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images. March 29, 2019
Oncology | Pathology Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent. January 11, 2019
Pathology Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images. November 13, 2018
Pathology Multi-Pass Adaptive Voting for Nuclei Detection in Histopathological Images. November 13, 2018